Triple
T28263866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Labs |
E712650
|
entity |
| Predicate | testingStage |
P165136
|
FINISHED |
| Object | prototype |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: prototype | Statement: [Google Labs, testingStage, prototype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testingStage Context triple: [Google Labs, testingStage, prototype]
-
A.
testingLevel
Indicates the degree or intensity to which something is examined, evaluated, or tested.
-
B.
staging
Indicates the process of arranging, organizing, or setting up elements in preparation for a main event, performance, or deployment.
-
C.
campaignPhase
Indicates the specific stage or period within the lifecycle of a campaign in which an entity or activity currently occurs.
-
D.
initialStage
Indicates that one entity represents the first or starting phase in a sequence, process, or development of another entity.
-
E.
testingTheWaters
Indicates exploring or trying something cautiously on a small scale to gauge reactions, risks, or outcomes before committing further.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 11:13 p.m.